1. Abstract MP84: Trans-ethnic Meta-analysis of Exome Chip Data Reveals Novel Low-frequency Variants Contributing to Central Adiposity
- Author
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Paul L. Auer, Dorota Pasko, Claudia Schurmann, Yingchang Lu, Mark I. McCarthy, Ingrid B. Borecki, Nancy L. Heard-Costa, L. Adrienne Cupples, Valérie Turcot, Ruth J. F. Loos, Karen L. Mohlke, Kari E. North, Heather M. Highland, Thomas W. Winkler, Caroline S. Fox, Cecilia M. Lindgren, Mariaelisa Graff, Kristin L. Young, Tugce Karaderi, Anne E. Justice, and Robert A. Scott
- Subjects
Oncology ,medicine.medical_specialty ,business.industry ,Ethnic group ,Disease ,Fat distribution ,medicine.disease ,Obesity ,Physiology (medical) ,Internal medicine ,Meta-analysis ,medicine ,Central Adiposity ,Risk factor ,Cardiology and Cardiovascular Medicine ,business ,Exome - Abstract
Central adiposity is a leading risk factor for cardiovascular disease, and genetic factors contribute both to fat distribution, measured as waist-to-hip ratio adjusted for BMI (WHRa), and to differences in central adiposity prevalence. To date, 49 loci have been associated with WHRa, based on studies of common [minor allele frequency (MAF) ≥5%] single nucleotide variants (SNVs), primarily in European descent populations. Our aim was to identify low frequency (LFV: MAF RAPGEF3 [MAF=0.01, β (SE) = -0.09 (0.012), P=1.28E-13]. In addition, one novel RV reached CWS in men for UGGT2 [MAFACVR1C [MAFRAPGEF3 (P=1.18E-11) as significantly associated with WHRa in the all ancestry sex combined analyses after correction for multiple tests (PRAPGEF3 also shows a significant association (p=4.68E-12) in all ancestry, sex combined gene-based analysis of BMI. RAPGEF3 is expressed in subcutaneous and visceral adipose tissue, and has been implicated in insulin regulation. RAPGEF3 plays a role in the GLP1 pathway, which controls insulin secretion in response to blood glucose concentration. Our results highlight the importance of large-scale genomic studies for identifying LFV and RV influencing central fat distribution. Understanding these genetic effects may provide insights into the progression of central adiposity and highlight potential population-specific variants that increase susceptibility.
- Published
- 2016
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